Hashtag Prediction
Hashtag prediction focuses on automatically assigning or recommending relevant hashtags to social media posts, improving content discoverability and analysis. Current research emphasizes developing robust models that handle the dynamic nature of social media data, incorporating both textual content and social network information (e.g., user interactions) using techniques like graph neural networks and retrieval-augmented generation. These advancements are crucial for enhancing various downstream tasks, such as sentiment analysis, topic classification, and improving the performance of large language models in social media contexts.
Papers
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